Vehicle AI computing system (VACS) for autonomous driving

US12327471B2 · kind B2 · utility

Assignee

• CAVH LLC · US

Inventors

• Bin Ran · Fitchburg, US
• Zhiyu Wang · Jinan, CN
• Renfei Wu · Fitchburg, US
• Junfeng Jiang · Tianjin, CN
• Yang Cheng · Middleton, US
• Keshu Wu · Madison, US
• Yifan Yao · Madison, US
• Tianyi Chen · Redmond, US
• Haotian Shi · Madison, US
• Shen Li · Madison, US
• Kunsong Shi · Madison, US
• Zhen Zhang · Madison, US
• Fan Ding · Madison, US
• Huachun Tan · Madison, US
• Yuankai Wu · Madison, US
• Shuoxuan Dong · Jalan Pedongkelan, US
• Linhui Ye · Jalan Pedongkelan, US
• Xiaotian Li · Madison, US

Key dates

• Filing date: Jun 13, 2024
• Grant date: Jun 10, 2025
• Expiry date: Jun 13, 2044

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04W4/44
• WIPO field: Control
• WIPO sector: Instruments

Abstract

The invention provides a vehicle AI computing system (VACS) that supports autonomous driving through an Onboard Unit (OBU) for vehicle-based computing and distributed computing based on vehicle-road-cloud. The vehicle-based computing can effectively complete various computational tasks by using onboard computing resources. The distributed computing allows the vehicle to work in collaboration with roadside units (RSUs) and/or the cloud to effectively complete various computational tasks. The VACS features an OBU with a sensing module, a communication module, and a data processing module that integrates data from vehicle sensors, RSUs, and the cloud. The OBU also includes a vehicle control module that helps control the vehicle based on the data of RSU and cloud. The VACS leverages high-performance computation resources to implement end-to-end driving tasks including sensing, prediction, planning and decision-making, and control. The VACS features large-scale parallel data processing by using GPU either onboard or based on vehicle-road-cloud.